Sökning: "Continuous Deep Analytics"

Hittade 5 uppsatser innehållade orden Continuous Deep Analytics.

  1. 1. The state of WebAssembly in distributed systems : With a focus on Rust and Arc-Lang

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Theodor-Andrei Moise; [2023]
    Nyckelord :WebAssembly; Wasmer; Wasm; Rust; Arc-Lang; Distributed Systems; Continuous Deep Analytics; Docker containers; Performance benchmarking; WebAssembly; Wasmer; Wasm; Rust; Arc-Lang; Distributed Systems; Continuous Deep Analytics; Docker containers; Performance benchmarking;

    Sammanfattning : With the current developments in modern web browsers, WebAssembly has been a rising trend over the last four years. Aimed at replacing bits of JavaScript functionality, it attempts to bring extra features to achieve portability and sandboxing through virtualisation. LÄS MER

  3. 2. A Scala DSL for Rust code generation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Klas Segeljakt; [2018]
    Nyckelord :Continuous Deep Analytics; Domain Specific Langauges; Code Generation; Rust; Scala; Kontinuerlig Djup Analys; Domänspeficika Språk; Kodgenerering; Rust; Scala;

    Sammanfattning : Continuous Deep Analytics (CDA) is a new form of analytics with performance requirements exceeding what the current generation of distributed systems can offer. This thesis is part of a five year project in collaboration between RISE SICS and KTH to develop a next generation distributed system capable of CDA. LÄS MER

  4. 3. Design of a Network Library for Continuous Deep Analytics

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Mickos; [2018]
    Nyckelord :;

    Sammanfattning : Data-intensive stream processing applications have escalated in popularity in recent years, producing numerous designs and implementations for handling unbounded streams of high-volume data. The sheer size and dimensionality of these types of data requires multiple machines to push processing throughput of hundreds of millions events per second at low latencies. LÄS MER

  5. 4. Dynamic Configuration of a Relocatable Driver and Code Generator for Continuous Deep Analytics

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Bjuhr; [2018]
    Nyckelord :Stream Processing; Heterogeneous Cluster; Big Data; Rust; Cargo; Docker; Ström Processor; Heterogent Kluster; Big Data; Rust; Cargo; Docker;

    Sammanfattning : Modern stream processing engines usually use the Java virtual machine (JVM) as execution platform. The JVM increases portability and safety of applications at the cost of not fully utilising the performance of the physical machines. LÄS MER

  7. 5. Adversarial Deep Learning Against Intrusion Detection Classifiers

    Master-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Maria Rigaki; [2017]
    Nyckelord :adversarial machine learning; intrusion detection;

    Sammanfattning : Traditional approaches in network intrusion detection follow a signature-based ap- proach, however the use of anomaly detection approaches based on machine learning techniques have been studied heavily for the past twenty years. The continuous change in the way attacks are appearing, the volume of attacks, as well as the improvements in the big data analytics space, make machine learning approaches more alluring than ever. LÄS MER